2002Unpublished venueRequires access

Implementation techniques for efficient data-flow analysis of large programs

Darren C. Atkinson, William G. Griswold

Open publisher page 38 citations

Abstract

Many software engineering tools such as program slicers must perform data-flow analysis in order to extract necessary information from the program source. These tools typically borrow much of their implementation from optimizing compilers. However, since these tools are expected to analyze programs in their entirety, rather than functions in isolation, the time and space performance of the dataflow analyses are of major concern. We present techniques that reduce the time and space required to perform dataflow analysis of large programs. We have used these techniques to implement an efficient program slicing tool for C programs and have computed slices of programs with more than 100,000 lines of code.

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What this paper is about

Many software engineering tools such as program slicers must perform data-flow analysis in order to extract necessary information from the program source. These tools typically borrow much of their implementation from optimizing compilers. However, since these tools are expected to analyze programs in their entirety, rather than functions in isolation, the time and space performance of the dataflow analyses are of major concern. We present techniques that reduce the time and space required to perform dataflow analysis of large programs. We have used these techniques to implement an efficient program slicing tool for C programs and have computed slices of programs with more than 100,000 lines of code.

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OpenAlex reports 38 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Many software engineering tools such as program slicers must perform data-flow analysis in order to extract necessary information from the program source. These tools typically borrow much of their implementation from optimizing compilers. However, since these tools are expected to analyze programs in their entirety, rather than functions in isolation, the time and space performance of the dataflow analyses are of major concern. We present techniques that reduce the time and space required to perform dataflow analysis of large programs. We have used these techniques to implement an efficient program slicing tool for C programs and have computed slices of programs with more than 100,000 lines of code.

Key concepts: Dataflow, Computer science, Program slicing, Data-flow analysis, Compiler, Programming language, Program analysis, Data flow diagram

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